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Keep using it and you'll see. Also that depends on the model and prompting.

My approach is to describe the task in great detail, which also helps me completing my own understanding of the problem, in case I hadn't considered an edge case or how to handle something specific. The more you do that the closer the result you get is to your own personal taste, experience and design.

Of course you're trading writing code vs writing a prompt but it's common to make architectural docs before making a sizeable feature, now you can feed that to the LLM instead of just having it be there.




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